> For the complete documentation index, see [llms.txt](https://docs.questera.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.questera.ai/questera-ai-platform/audience/scores-and-signals/how-to-read-user-and-company-signals-and-scores.md).
# How to Read User & Company Signals and Scores
**1. Login to Questera**
Begin by visiting the Questera platform and logging into your workspace with your account credentials.
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**2. Access the Dashboard**
Once logged in, you’ll land on the **main dashboard**, where you can see a summary of your workspace and access all major modules via the **left-hand navigation bar (Nav Bar)**.
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**3. Navigate to the “Audience” Section**
On the Nav Bar, find and click on **“Audience.”**\
This will open a full-screen view showing an **overview of all your users and companies** using your product.
You’ll see a list of users with filters, search options, and tabs to help you explore audience data, including:
* **All users**
* **Segments**
* **Analytics**
* **User behavior breakdowns**
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#### View AI Scores and Signals for Individual Users
**4. Select a Specific User**
From the Audience list, scroll or search to find a user you want to know more about. Click on the **user’s name or email ID** to open their **profile view**.
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**5. Explore the User’s Profile**
You will now land on the **User page** for the selected user.
Here’s what you’ll find:
**AI-Generated Scores:**
These are intelligent scores that help you understand a user’s intent and behavior. Common scores include:
* **Churn Risk Score** – Likelihood of the user leaving your product.
* **Purchase Propensity** – Probability of making a purchase or upgrade.
* **Engagement Score** – How actively the user engages with your features.
* **Conversion Score** – How likely they are to complete a goal.
* **Referral Score**, **Onboarding Score**, and more.
**Signals:**
Real-time behavioral indicators, such as:
* **Session Count (Last 7 Days)**
* **Email Open Rate**
* **CTA Click Rate**
* **Used Features Count**
* **Pricing Page Visits**
* **Cart Abandonment Amount**
This helps you get a quick pulse on **how recently and how deeply** a user is engaging with your product.
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#### View AI Scores and Signals for Companies / Organizations
**6. Back to Audience → Companies**
Return to the **Audience view**, **look for an organization (company) listing**. Questera automatically groups users into their respective organizations.
**7. Click on a Company Name**
Select the organization you want to analyze by clicking on its name (e.g., **Amazon**). This will open the **Company Profile Page**.
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**8. Explore the Company’s Profile**
Inside the organization’s profile, you’ll see aggregated insights for that company:
**AI-Generated Company Scores:**
These scores reflect the overall health and potential of the company’s relationship with your product:
* **Engagement Health Score**
* **Lifecycle Funnel Completion Score**
* **Product Activation Score**
* **Purchase Readiness Score**
* **Trial Health Score**
**Company Signals:**
These summarize behavioral patterns across users in that company:
* **Avg. Sessions per Active User**
* **Feature Adoption Lag**
* **Pricing Page Visit Rate**
* **Trial Conversion Rate**
* **Cart Abandonment Rate**
This data helps you assess how a company is progressing and whether they are likely to churn, convert, or expand.
